UDOO Bolt V8

Name: UDOO Bolt V8
Brand: UDOO Bolt V8

Powerful AMD Ryzen SBC for AI, robotics, and edge computing

hardwarex86 Mini PCsAIRobotics Edge Computing

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Our Verdict

Best for

AI/robotics developers needing desktop‑class CPU/GPU in SBC form

Skip if

Projects requiring low power or extensive Raspberry‑Pi style tutorials

What is UDOO Bolt V8?

The UDOO Bolt V8 is a compact single‑board computer built around an AMD Ryzen Embedded V1605B processor with Radeon Vega 8 graphics, delivering desktop‑class performance in a 100 mm x 100 mm form factor. It supports up to 32 GB of DDR4 RAM, dual‑M.2 SSDs, and a rich set of I/O, making it ideal for AI inference, robotics, and high‑resolution video processing at the edge. Designed for developers and makers who need GPU‑accelerated compute without the size and power constraints of a full PC, the Bolt V8 runs Linux and Windows, offers extensive peripheral connectivity, and is fully open‑hardware, allowing deep customization and community‑driven enhancements.

SpecificationsAI-estimated

msrp$299

weight150 g

warranty2 years limited

dimensions100 mm x 100 mm x 30 mm

open source✅ Yes

connectivityWi‑Fi 6, Bluetooth 5.2, Gigabit Ethernet (2 ports, PoE optional), USB‑C (4 ports)

Key Features of UDOO Bolt V8

The Bolt V8 houses a quad‑core AMD Ryzen V1605B CPU with 8 GPU compute units for real‑time AI and computer‑vision workloads.

It supports up to 32 GB of DDR4 RAM, enabling large data sets and complex models to run locally.

Dual M.2 slots (NVMe and SATA) provide fast storage options for high‑throughput data logging and edge analytics.

Integrated Radeon Vega 8 graphics can output 4K video at 60 Hz and accelerate OpenCL and Vulkan applications.

Wi‑Fi 6 and Bluetooth 5.2 ensure high‑speed wireless connectivity for IoT and robotics deployments.

Four USB‑C ports with DisplayPort Alt‑mode and power delivery simplify peripheral integration and power management.

Two Gigabit Ethernet ports with PoE support allow reliable wired networking and remote power delivery.

Open‑source hardware schematics and software SDKs let developers customize the board to their exact needs.

Use Cases for UDOO Bolt V8

AI Edge Inference

Run TensorFlow Lite or ONNX models locally for real‑time object detection.

Robotics Control

Provide high‑performance compute for SLAM and motor control in autonomous robots.

4K Media Server

Stream 4K HDR video over Ethernet or Wi‑Fi 6 to multiple displays.

Industrial HMI

Power touch‑screen interfaces with GPU‑accelerated graphics for factory dashboards.

Pros & Cons of UDOO Bolt V8

Pros

Desktop‑class CPU/GPU in SBC size
Up to 32 GB RAM support
Rich I/O including dual M.2 and USB‑C
Open‑hardware design

Cons

Higher power consumption than typical ARM SBCs
Limited community tutorials compared to Raspberry Pi
No built‑in battery management

Frequently Asked Questions

What operating systems are supported?

Ubuntu Linux, Debian, and Windows 10 IoT Enterprise are officially supported.

Can I run GPU‑accelerated AI frameworks?

Yes, the Vega‑8 GPU supports OpenCL, Vulkan, and can accelerate TensorFlow Lite, PyTorch Mobile, and ONNX Runtime.

Does the board have PoE capability?

PoE is available via the optional PoE‑HAT accessory on the Ethernet port.

Is the hardware design open source?

All schematics, PCB layouts, and reference designs are released under an open‑hardware license.

Pricing Overview

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Paid (One-time)

Detailed plans are not listed. Visit the official website for pricing information.

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